An Ethical Crisis in Computing?
Moshe Y. Vardi, RICE UNIVERSITY – Abstract: IST Distinguished Lecture Computer scientists think often of "Ender's Game" these days. In this award-winning 1985 science-fiction novel by Orson Scott Card, Ender is being trained at Battle School, an institution designed to make young children into military…
POSTPONED – Ethics of, and Trust in, Artificial Intelligence
Mariarosaria Taddeo, University of Oxford – Abstract: I will analyse the ethical opportunities and risks that artificial intelligence (AI) brings about and how ethical analyses can help to harness the potential for good of AI and mitigate its risks. Bio Dr Mariarosaria Taddeo is Research…
CANCELED – Introduction to Compact Data Structures: A Strategy for Big Data Processing
Nieves Brisaboa, Universidad de la Coruña – Abstract: The need to deal with huge amounts of data (big data world) has motivated the development of new data structures able to represent data and indexes to access them in compact space. The key idea in this…
Introduction to IOTA — a feeless cryptocurrency
, IOTA Foundation – Abstract: In this talk we discuss the basics of the IOTA cryptosystem: its main principles and approach to the consensus (a.k.a. Coordicide). Bio Serguei Popov is a research mathematician working in the field of Probability Theory and Stochastic Processes. He graduated…
Talks on Model Driven Engineering & Artificial Intelligence Approaches
António Menezes Leitão João Penha-Lopes , – Abstract: 3rd Talk/2020: IST, 24/January/2020, with Prof. António Menezes Leitão (IST) and Dr. João Penha-Lopes (Quidgest) The department of Computer Science and Engineering from Instituto Superior Técnico and Quidgest associates to promote a series of meetings with guest…
Focusing the Macroscope: How We Can Use Data to Understand Behavior
Joana Gonçalves de Sá, Universidade Nova de Lisboa – Abstract: Individual decisions can have a large impact on society as a whole. This is obvious for political decisions, but still true for small, daily decisions made by common citizens. Individuals decide how to vote, whether…
Hardware Engineering in ARM
Francisco Gaspar, ARM – Abstract: In this talk, Francisco Gaspar will explain what a Hardware Engineer at ARM can accomplish in his role, and try to transmit both the importance and the expectations from the Design, Verification and Implementation sides of it. He will start…
Cloud computing overview and Running code on Google Cloud
Wesley Chun, Google – Abstract: Cloud computing has taken over industry by storm, yet there aren’t enough new college grads who know enough about it. This session begins with a vendor-agnostic, high-level overview of cloud computing, including its three primary service levels. This is followed…
Scaling Distributed Machine Learning with In-Network Aggregation
Marco Canini, KAUST: King Abdullah University of Science and Technology – Abstract: Training complex machine learning models in parallel is an increasingly important workload. We accelerate distributed parallel training by designing a communication primitive that uses a programmable switch dataplane to execute a key step…
Data processing methodologies in the area of E-Health for categorizing therapeutic responses in patients with migraine
, – Abstract: Migraine is a chronic disease that affects the daily development of activities of people around the world. To alleviate the symptoms, OnabotulinumtoxinA (BoNT-A) has solid proven evidence for their use according to various works and clinical trials. Nowadays, it is known that…
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information is available here.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.